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Search Results: 1 - 10 of 14320 matches for " Shen Huiyan "
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Freidlin-Wentzell’s Large Deviations for Stochastic Evolution Equations with Poisson Jumps  [PDF]
Huiyan Zhao, Siyan Xu
Advances in Pure Mathematics (APM) , 2016, DOI: 10.4236/apm.2016.610056
Abstract: We establish a Freidlin-Wentzell’s large deviation principle for general stochastic evolution equations with Poisson jumps and small multiplicative noises by using weak convergence method.
Reduced expression of Toll-like receptor 4 inhibits human breast cancer cells proliferation and inflammatory cytokines secretion
Huan Yang, Huiqin Zhou, Ping Feng, Xiaoni Zhou, Huiyan Wen, Xiaofang Xie, Haiying Shen, Xueming Zhu
Journal of Experimental & Clinical Cancer Research , 2010, DOI: 10.1186/1756-9966-29-92
Abstract: TLRs mRNA and protein expressions were detected in human breast cancer cell line MDA-MB-231 by RT-PCR, real-time PCR and flow cytometry (FCM). RNA interference was used to knockdown the expression of TLR4 in MDA-MB-231. MDA-MB-231 transfected with the vector pGenesil-1 and the vector containing a scrambled siRNA were as controls. Recombinant plasmids named TLR4AsiRNA, TLR4BsiRNA and TLR4CsiRNA specific to TLR4 were transfected into human breast cancer cell line MDA-MB-231 with Lipfectamine?2000 reagent. TLR4 mRNA and protein expressions were investigated by RT-PCR, real-time PCR, FCM and immunofluorescence after silence. MTT analysis was performed to detect cell proliferation and FCM was used to detect the secretion of inflammatory cytokines in supernatant of transfected cells.The human breast cancer cell line MDA-MB-231 was found to express TLR1-TLR10 at both the mRNA and protein levels. TLR4 was found to be the highest expressed TLR in MDA-MB-231. TLR4AsiRNA, TLR4BsiRNA and TLR4CsiRNA were found to significantly inhibit TLR4 expression in MDA-MB-231 at both mRNA and protein levels as compared to vector control(vector transfected cells). TLR4AsiRNA mediated the strongest effect. Knockdown of TLR4 gene in MDA-MB-231 resulted in a dramatic reduction of breast cancer cell viability. The cytokines which were secreted by the TLR4 silenced cells, such as IL-6 and IL-8, also decreased significantly as compared with vector control. No significant difference was observed in siRNA control (Recombinant plasmid named ScrambledsiRNA transfected cells) compared to vector control.These studies identified the expression levels of multiple TLRs in human breast cancer cell line MDA-MB-231 and demonstrated that knockdown of TLR4 could actively inhibit proliferation and survival of breast cancer cells. Taken together, our results suggest RNAi-directed targeting of TLR4 may be a beneficial strategy for breast cancer therapy.Human toll-like receptors (TLRs), firstly identified in mammal
Yamada-Watanabe Theorem for Stochastic Evolution Equation Driven by Poisson Random Measure
Huiyan Zhao
ISRN Probability and Statistics , 2014, DOI: 10.1155/2014/982190
Abstract: The purpose of this paper is to give a detailed proof of Yamada-Watanabe theorem for stochastic evolution equation driven by pure Poisson random measure. 1. Introduction The main purpose of this paper is to establish the Yamada-Watanabe theory of uniqueness and existence of solutions of stochastic evolution equation driven by pure Poisson random measure in the variational approach. The classical paper [1] has initiated a comprehensive study of relations between different types of uniqueness and existence (e.g., strong solutions, weak solutions, pathwise uniqueness, uniqueness, and joint uniqueness in law) arising in the study of SDEs (see, e.g., [2–4]) and the study is still alive today. New papers are published (see, e.g., [2, 3, 5–7]). In this paper we are concerned with the similar question for stochastic evolution equation driven by Poisson random measure by using the method of Yamada and Watanabe. Yamada and Watanabe's initial work [1] proved that weak existence and pathwise uniqueness imply strong existence and weak uniqueness. For -dimensional case, see [8, 9]. For infinite dimensional stochastic differential equation, Ondreját [6] proved similar result for stochastic evolution equation in Banach space driven by cylindrical Wiener process, where the solutions are understood in the mild sense. Lately, R?ckner et al. [7] proved similar result for stochastic evolution equation in Banach space driven by cylindrical Wiener process under the variational framework. On the other hand, Kurtz [2, 3] obtained a pleasant version of Yamada-Watanabe and Engelbert theorem in an abstract form, which covered most of the work mentioned above. However, we will consider the following concrete stochastic evolution equation by using a different method. In this paper, we will consider the following stochastic evolution equation driven by pure Poisson random measure under the variational framework: This type of equations can be applied to many SPDEs, for example, stochastic Burgers equation, stochastic porous media equation, and stochastic Navier-Stokes equation (see, e.g., [9–13]). We will introduce the above equation precisely in Section 2. Our aim is to obtain this jump-case Yamada-Watanabe theorem; that is, weak existence and strong uniqueness (which will be stated in Section 2) imply strong existence and weak uniqueness and vice versa. We note that there are some differences between the jump-case case and the Brownian motion case. It is well known that a Brownian motion can be treated as a canonical map on or (for some Hilbert space ), while for jump-case we have
High order volume preserving integrators for three kinds of divergence-free vector fields via commutator
Huiyan Xue
Mathematics , 2013,
Abstract: In this paper, we focus on the construction of high order volume preserving in- tegrators for divergence-free vector fields: the monomial basis, the exponential basis and tensor product of the monomial and the exponential basis. We first prove that the commutators of elementary divergence-free vector fields (EDFVF) of those three kinds are still divergence-free vector fields of the same kind. Assuming then there is only diagonal part of divergence-free vector field of the monomial basis, for those three kinds of divergence-free vector fields, we construct high order volume-preserving inte- grators using the multi-commutators for EDFVFs. Moreover, we consider the ordering of the EDFVFs and their commutators to reduce the error of the schemes, showing by numerical tests that the strategy in [9] works very well.
GRAIN-SIZE CHARACTERISTICS OF SEDIMENTS FROM THE ZIGETANG CO LAKE, TIBETAN PLATEAU AND THEIR ENVIRONMENTAL IMPLICATION
青藏高原兹格塘错沉积物粒度组成及其环境记录的研究 *

Shen Huiyan,Li Shijie,Yu Shoubing,Yao Shuchun,
申慧彦
,李世杰,于守兵,姚书春

第四纪研究 , 2007,
Abstract: 兹格塘错是位于藏北高原腹地的一个封闭型湖泊,对其沉积物的粒度组成、粒度参数等粒度特征进行分析,揭示了湖面水位变化,水动力、风动力搬运强度等.并结合其他环境代用指标进行比较,探讨环境变化,揭示了兹格塘错区域全新世初期气候湿润、中期气候偏干、晚期干湿交替的气候变化特征.粒度参数所反映出的湖面波动与环境变化得到了其他环境代用指标较好的支持.
Equivalence of Uniqueness in Law and Joint Uniqueness in Law for SDEs Driven by Poisson Processes  [PDF]
Huiyan Zhao, Chunhua Hu, Siyan Xu
Applied Mathematics (AM) , 2016, DOI: 10.4236/am.2016.78070
Abstract: We give an extension result of Watanabe’s characterization for 2-dimensional Poisson processes. By using this result, the equivalence of uniqueness in law and joint uniqueness in law is proved for one-dimensional stochastic differential equations driven by Poisson processes. After that, we give a simplified Engelbert theorem for the stochastic differential equations of this type.
Stabilitty of Anti-periodic Solutions for Certain Shunting Inhibitory Cellular Neural Networks
Huiyan Kang,Ligeng Si
International Journal of Modern Education and Computer Science , 2011,
Abstract: In this paper, the existence and exponential stability of anti-periodic solutions for shunting inhibitory cellular neural networks (SICNNs) with continuously distributed delays are considered by constructing suitable Lyapunov fuctions and applying some critial analysis techniques. Our results remove restrictive conditions of the global Lipschitz and bounded conditions of activation functions and new sufficient conditions ensuring the exist-ence and exponential stability of anti-periodic solutions for SICNNs are obtained. Moreover, an example is given to illustrate the feasibility of the conditions in our results.
A Quantitative Method for Pulse Strength Classification Based on Decision Tree
Huiyan Wang,Peiyong Zhang
Journal of Software , 2009, DOI: 10.4304/jsw.4.4.323-330
Abstract: Pulse diagnosis is one of the most important examinations in Traditional Chinese Medicine (TCM). In response to the subjectivity and fuzziness of pulse diagnosis in TCM, quantitative systems or methods are needed to modernize pulse diagnosis. In pulse diagnosis, strength is one of the most difficult factors to recognize. To explore the quantitative recognition of pulse strength, a novel method based on decision tree (DT) is presented. The proposed method is testified by applying it to classify four hundreds pulse signal samples collected from clinic. The results are mostly accord with the expertise, which indicate that the method we proposed is feasible and effective and can identify pulse signals accurately, which can be expected to facilitate the modernization of pulse diagnosis.
Explicit Volume-Preserving Splitting Methods for Polynomial Divergence-Free Vector Fields
Huiyan Xue,Antonella Zanna
Mathematics , 2012,
Abstract: We present new, explicit, volume-preserving vector fields for polynomial divergence-free vector fields of arbitrary degree (both positive and negative). The main idea is to decompose the divergence polynomial by means of an appropriate basis for polynomials: the monomial basis. For each monomial basis function, the split fields are then identified by collecting the appropriate terms in the vector field so that each split vector field is divergence free. We show that each split field can be integrated exactly by analytical methods. Thus, the composition yields a volume preserving numerical method. Our numerical tests indicate that the methods compare favorably to standard integrators both in the quality of the numerical solution and the computational effort.
Simulation Experiments with Different Planetary Boundary Layer Schemes in the Lower Reaches of the Yangtze River
长江下游地区不同边界层参数化方案的试验研究

XU Huiyan,ZHU Ye,LIU Rui,SHEN Hangfeng,WANG Donghai,ZHAI Guoqing,
徐慧燕
,朱业,刘瑞,沈杭锋,王东海,翟国庆

大气科学 , 2013,
Abstract: By using several planetary boundary layer schemes (Mellor-Yamada-Janjic; quasi-normal scale elimination; Yonsei University; asymmetric convective, version 2; Bougeault-Lacarrere (Boulac); Mellor-Yamada-Nakanishi- Niino, level 2.5; and Mellor-Yamada-Nakanishi-Niino, level 3) in a Weather Research and Forecasting (WRF) numerical model, seven sets of model simulations for three rainstorm cases in the lower reaches of the Yangtze River were performed. This paper thoroughly analyzes and compares the simulation ability of seven planetary boundary layer parameterizations with respect to the distribution of 24-hour total rainfall, boundary layer structure in the rainstorm area, fundamental fields of meteorological elements, and statistical test results for total rainfall. A comparison of the simulations and the observations indicated that the quasi-normal scale elimination planetary boundary layer scheme is superior to the other six.
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